Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills

24 September 2022

Papers citing "Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills"

28 / 28 papers shown

Title
Transferable and Adaptable Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan Masayoshi Tomizuka Changliu Liu 70 25 0 10 Feb 2022
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan Masayoshi Tomizuka Changliu Liu 68 17 0 01 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 119 93 0 28 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 114 257 0 26 Sep 2021
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios B. Brito Achint Agarwal Javier Alonso-Mora 69 20 0 09 Jul 2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles Zhitao Wang Yuzheng Zhuang Qiang Gu Dong Chen Hongbo Zhang Wulong Liu 52 9 0 08 Jul 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 114 132 0 25 May 2021
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models Yuchen Wu Melissa Mozifian Florian Shkurti 71 21 0 02 Nov 2020
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data Letian Wang Liting Sun Masayoshi Tomizuka Wei Zhan 84 41 0 28 Oct 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 105 239 0 22 Oct 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 128 65 0 01 Jul 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 88 108 0 08 Jun 2020
Driving in Dense Traffic with Model-Free Reinforcement Learning D. Saxena S. Bae A. Nakhaei K. Fujimura Maxim Likhachev 66 86 0 15 Sep 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 100 24 0 11 Apr 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 103 406 0 05 Mar 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 150 2,453 0 13 Dec 2018
CompILE: Compositional Imitation Learning and Execution Thomas Kipf Yujia Li H. Dai V. Zambaldi Alvaro Sanchez-Gonzalez Edward Grefenstette Pushmeet Kohli Peter W. Battaglia VLM 77 13 0 04 Dec 2018
Neural probabilistic motor primitives for humanoid control J. Merel Leonard Hasenclever Alexandre Galashov Arun Ahuja Vu Pham Greg Wayne Yee Whye Teh N. Heess 85 160 0 28 Nov 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 95 674 0 02 May 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 104 320 0 26 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 113 1,089 0 16 Feb 2018
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction Nachiket Deo Akshay Rangesh Mohan M. Trivedi 59 285 0 19 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 102 789 0 28 Sep 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 97 669 0 27 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 568 19,296 0 20 Jul 2017
Learning human behaviors from motion capture by adversarial imitation J. Merel Yuval Tassa TB Dhruva S. Srinivasan Jay Lemmon Ziyun Wang Greg Wayne N. Heess GAN 82 202 0 07 Jul 2017
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 71 1,089 0 16 Sep 2016